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Merge pull request #85 from Project-MONAI/fix-duplicate-navbar
Fix duplicate navbar issue
2 parents 83419d2 + d211787 commit 23102c2

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404.html

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<meta name="twitter:description" content="The page you were looking for could not be found. Please check the URL or navigate back to the homepage.">
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<link rel="canonical" href="https://monai.io/404.html">
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<body class="flex flex-col min-h-screen">

about.html

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<meta name="twitter:description" content="Project MONAI was originally started by NVIDIA & King's College London to establish an inclusive community of AI researchers for the development and exchange of best practices for A">
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<link rel="canonical" href="https://monai.io/about.html">
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<body class="flex flex-col min-h-screen">

core.html

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<meta name="twitter:description" content="MONAI Core is the flagship library of Project MONAI, providing powerful capabilities for medical AI development. It features medical-specific image transforms, state-of-the-art models like UNETR for 3D segmentation, and advanced frameworks like Auto3DSeg for automated model selection.">
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<link rel="canonical" href="https://monai.io/core.html">
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deploy.html

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<meta name="twitter:description" content="MONAI Deploy is a comprehensive framework for developing, packaging, testing, and deploying medical AI applications in research and development environments. Through its modular arch">
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<link rel="canonical" href="https://monai.io/deploy.html">
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<style>

index.html

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<meta name="twitter:description" content="MONAI is the leading open-source framework for healthcare imaging AI, trusted by researchers and clinicians worldwide. Build, train, and deploy medical AI solutions with industry-standard tools.">
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<link rel="canonical" href="https://monai.io/">
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<body class="flex flex-col min-h-screen">
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<main class="flex-grow pt-20">

label.html

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<meta name="twitter:description" content="MONAI Label is an intelligent image labeling and learning tool that uses AI assistance to reduce the time and effort of annotating new datasets. By utilizing user interactions, MONAI">
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<link rel="canonical" href="https://monai.io/label.html">
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mayo-case-study.html

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<meta name="twitter:description" content="Learn how Mayo Clinic's Center for Augmented Intelligence in Imaging (CAII) uses MONAI to integrate AI models within clinical-imaging workflows.">
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<link rel="canonical" href="https://monai.io/mayo-case-study.html">
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mayo-siemens-case-study.html

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<meta name="twitter:description" content="From Institutional Development to Scalable Deployment: How Mayo Clinic's AI application was made available to researchers at over 10,000 institutions via Siemens Healthineers Digital Marketplace">
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<link rel="canonical" href="https://monai.io/mayo-siemens-case-study.html">
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model-zoo.html

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<meta name="twitter:description" content="Explore MONAI Model Zoo - a collection of pre-trained models for medical imaging tasks. Find and use state-of-the-art models for your healthcare AI applications.">
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<link rel="canonical" href="https://monai.io/model-zoo.html">
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start.html

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<meta name="twitter:description" content="Get started with MONAI - the freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging.">
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<link rel="canonical" href="https://monai.io/started.html">
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